Competences of students which collected in the last three years from industries during they conducted internship showed that they have good basic technical knowledge and skills, but work ethic should be improved. This research aims to develop learning process and assessment model to assimilate the work competences standard into learning outcomes. It has taken case study in the Electronic Study Program in Politeknik Negeri Bandung (Polban). Data collected by qualitative approach to find the appropriate learning condition in the workplace that can adopted into learning process and assessment in the campus. This research reveal that work competences cannot be built only by introducing work knowledge at the laboratory, but the students must be directly involved in work situation included assessment of work product and their performed in the end of the work even though it is done in the laboratory. This model could shift “way of thinking and learning of students” so that they more ready to face the world of work than before. Works assignment plays the main role in this case
Artikel ini mengusulkan sistem presensi kelas berbasis pengenalan wajah. Metode yang diterapkan adalah Convolutional Neural Network (CNN) dengan keterbaruan adalah penyajian dalam file Ms. Excel secara langsung. Metode ini dapat digunakan untuk melakukan proses ekstraksi fitur dari citra dan mengklasifikasikan citra. Aplikasi dirancang menggunakan Graphical User Interface (GUI) untuk pengisian presensi mahasiswa. Pada tampilan dapat digunakan untuk melakukan registrasi secara langsung untuk pembuatan dataset dan model. Perangkat keras sistem terdiri dari kamera, minicomputer, dan LCD. Cara kerja sistem keseluruhan meliputi registrasi, preprocessing, pengenalan citra wajah, dan hasil output identitas mahasiswa. Hasil pengujian menunjukkan bahwa sistem ini memiliki nilai akurasi 85% dan jumlah epoch 40. Waktu dalam proses pengenalan yaitu 3 hingga 9 detik dengan jarak wajah dari kamera 30-50 cm. Sistem bekerja maksmimal jika digunakan pada ruangan dengan pencahayaan berlampu terang. Sudut maksimal wajah menghadap kamera sebesar 10 derajat.
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